End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Software Automatic Mouth - Tiny Speech Synthesizer

Software Automatic Mouth - Tiny Speech Synthesizer

Deep Voice: Real-time Neural Text-to-Speech

Grapheme to phoneme conversion with deep learning.

Pronunciation lexicon covering both English and Chinese languages for Automatic Speech Recognition.

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

High-Fidelity Neural Phonetic Posteriorgrams

Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

Jason Riggle's chart of phonological features in JSON format + extras

Multilingual Grapheme to Phoneme

Speech recognition on the TIMIT (or any other) dataset

JS speech analyzer for fast speech analysis and labeling

Python wrapper for Espeak and Mbrola, for simple local TTS

Python Hindi Concatenative Based TTS using Phoneme Database

Load your phoneme files and generate the lipsync animation from your recorded audio files. No video or webcam needed!

A statistical random words generator for constructed languages.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A python tool that converts Arabic diacritised text to a sequence of phonemes and creates a pronunciation dictionary. This code is based on https://github.com/nawarhalabi/Arabic-Phonetiser

a piecemeal natural language processing library